Google Scholar Skills for Claude Code

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English

Claude Code skills that let Claude interact with Google Scholar through Chrome DevTools MCP.

Search papers, track citations, get full-text links, and export to Zotero — all from the Claude Code CLI.

Prerequisites

• Claude Code CLI installed
• Chrome browser with remote debugging enabled
• Zotero desktop app (optional, for export)
• Python 3 (optional, for Zotero push script)

Skills

Skill	Description	Invocation
gs-search	Keyword search with structured result extraction	/gs-search deep learning
gs-advanced-search	Filtered search: author, journal, date range, exact phrase, title-only	/gs-advanced-search author:Einstein after:2020 relativity
gs-cited-by	Find papers that cite a given paper via data-cid	/gs-cited-by 0qfs6zbVakoJ
gs-fulltext	Get full-text access links: PDF, DOI, Sci-Hub, publisher	/gs-fulltext 0qfs6zbVakoJ
gs-navigate-pages	Pagination for search results	/gs-navigate-pages next
gs-export	Export to Zotero via BibTeX extraction	/gs-export 0qfs6zbVakoJ

Agent

gs-researcher — orchestrates all 6 skills. Handles CAPTCHA detection (pauses and asks user to solve manually) and multi-step workflows like "search → track citations → export to Zotero".

Installation

1. Install Chrome DevTools MCP server

claude mcp add chrome-devtools -- npx -y chrome-devtools-mcp@latest

2. Install Google Scholar skills

git clone https://github.com/cookjohn/gs-skills.git
cd gs-skills
cp -r skills/ agents/ .claude/

Or add to an existing project:

git clone https://github.com/cookjohn/gs-skills.git /tmp/gs-skills
cp -r /tmp/gs-skills/skills/ your-project/.claude/skills/
cp -r /tmp/gs-skills/agents/ your-project/.claude/agents/

3. Start Chrome with remote debugging

# Windows
"C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222

# macOS
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222

# Linux
google-chrome --remote-debugging-port=9222

4. Launch Claude Code

claude

Skills and agent are picked up automatically. Try /gs-search deep learning to verify.

How It Works

All skills use async evaluate_script calls via Chrome DevTools MCP — no screenshot parsing or OCR. Each skill operates in 1-2 tool calls (navigate + evaluate_script), making interactions fast and reliable.

Key design choices:

• DOM scraping only — Google Scholar has no public API; all data extraction uses CSS selectors
• data-cid as primary key — cluster ID used across all skills for citation tracking, export, and cross-referencing
• Single async script per operation — replaces multi-step snapshot → click → wait_for patterns
• BibTeX via navigate_page — bypasses CORS restrictions on scholar.googleusercontent.com
• CAPTCHA-aware — detects Google Scholar CAPTCHA and pauses for manual resolution

Project Structure

skills/
├── gs-search/SKILL.md              # Basic keyword search
├── gs-advanced-search/SKILL.md     # Filtered search (author, journal, date, etc.)
├── gs-cited-by/SKILL.md            # Citation tracking via data-cid
├── gs-fulltext/SKILL.md            # Full-text access links (PDF, DOI, Sci-Hub)
├── gs-navigate-pages/SKILL.md      # Result pagination
├── gs-export/                      # BibTeX export & Zotero push
│   ├── SKILL.md
│   └── scripts/
│       └── push_to_zotero.py       # Zotero Connector API client
agents/
└── gs-researcher.md                # Agent: orchestrates all skills

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中文

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让 Claude Code 通过 Chrome DevTools MCP 操控 Google Scholar (谷歌学术) 的技能集。

支持论文搜索、引用追踪、全文获取、导出到 Zotero 等功能，全部在 Claude Code 命令行中完成。

前置要求

• 已安装 Claude Code CLI
• Chrome 浏览器（需开启远程调试）
• Zotero 桌面版（可选，用于导出）
• Python 3（可选，用于 Zotero 推送脚本）

技能列表

技能	描述	调用方式
gs-search	关键词搜索，返回结构化结果	/gs-search deep learning
gs-advanced-search	高级搜索：作者、期刊、时间、精确短语、仅标题	/gs-advanced-search author:Einstein after:2020 relativity
gs-cited-by	引用追踪：查找引用了某篇论文的所有文献	/gs-cited-by 0qfs6zbVakoJ
gs-fulltext	全文获取：PDF、DOI、Sci-Hub、出版商链接	/gs-fulltext 0qfs6zbVakoJ
gs-navigate-pages	搜索结果翻页	/gs-navigate-pages next
gs-export	通过 BibTeX 导出到 Zotero	/gs-export 0qfs6zbVakoJ

智能体

gs-researcher — 统一调度全部 6 个技能。自动检测验证码（暂停并提示用户手动完成），支持"搜索 → 引用追踪 → 导出到 Zotero"等复合工作流。

安装步骤

1. 安装 Chrome DevTools MCP 服务器

claude mcp add chrome-devtools -- npx -y chrome-devtools-mcp@latest

2. 安装 Google Scholar 技能

git clone https://github.com/cookjohn/gs-skills.git
cd gs-skills
cp -r skills/ agents/ .claude/

或添加到已有项目：

git clone https://github.com/cookjohn/gs-skills.git /tmp/gs-skills
cp -r /tmp/gs-skills/skills/ your-project/.claude/skills/
cp -r /tmp/gs-skills/agents/ your-project/.claude/agents/

3. 启动 Chrome 远程调试

# Windows
"C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222

# macOS
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222

# Linux
google-chrome --remote-debugging-port=9222

4. 启动 Claude Code

claude

技能和智能体会自动加载。输入 /gs-search deep learning 验证是否正常工作。

工作原理

所有技能通过 Chrome DevTools MCP 的 evaluate_script 异步执行 JavaScript，无需截图识别或 OCR。每个技能仅需 1-2 次工具调用（导航 + 执行脚本），快速且稳定。

核心设计：

• 纯 DOM 解析 — Google Scholar 无公开 API，所有数据通过 CSS 选择器提取
• data-cid 作为主键 — 集群 ID 贯穿所有技能，用于引用追踪、导出和交叉引用
• 单次异步脚本 — 取代多步骤 snapshot → click → wait_for 模式
• navigate_page 获取 BibTeX — 绕过 scholar.googleusercontent.com 的 CORS 限制
• 验证码感知 — 检测到 Google Scholar 验证码时自动暂停，等待用户手动完成

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License

MIT